Workflow for Ribosome profiling data start and stop codon analysis.
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Updated
Mar 17, 2019 - Python
Workflow for Ribosome profiling data start and stop codon analysis.
Plotting functions, frameshift detection and parsing of sequencing data from ribosome profiling experiments.
Pipeline and scripts for the comparative analysis of ribosome profiling and matched RNA sequencing data between organs and across species.
Transformers for ribosome density prediction
Repo for the files needed for embedding mappingQC in the Galaxy environment
Comparison of the ability of open reading frames to recruit ribosomes within individual transcripts
machine learning algorithm for predicting ribosome densities at the gene level in different amino acid deprivation conditions
Reanalysis of ribosome profiling datasets reveals a novel function of rocaglamide A in perturbing the dynamics of translation elongation via eIF4A
pilot pipeline that includes tool containerization
Bacterial-Riboseq: A Snakemake workflow for the analysis of riboseq data in bacteria.
Mathematica notebook to compare methods of ML for ribosom density on mRNA prediction
Website source code for analysis of ribosome / polysome profiling
Analyze ribosome profiling for organisms have ncbi annotation
Snakemake pipeline for Ribo-Seq analysis
Fast data processing for ribosome footpring profiling experiments from bam files
workshop2020: Basic and advanced bioinformatics for RegenerationNEXT
Ribo-DT is a snakemake pipeline to infer single-codon and codon-pair dwell times as well as gene flux from ribosome profiling data using generalized linear model (GLM) with negative binomial noise model (Gobet et al., PNAS, 2020).
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